Here is a list of all documented class members with links to the class documentation for each member:

- g -

• gamma : mltk::classifier::Classifier< T >
• generateMatrixH() : mltk::Kernel< T >
• generateMatrixHwithoutDim() : mltk::Kernel< T >
• get_tasks_queued() : mltk::ThreadPool
• get_tasks_running() : mltk::ThreadPool
• get_tasks_total() : mltk::ThreadPool
• get_thread_count() : mltk::ThreadPool
• getAlphaVector() : mltk::classifier::DualClassifier< T >
• getCtot() : mltk::Learner< T >
• getDualWeight() : mltk::classifier::DualClassifier< T >
• getDualWeightProdInt() : mltk::classifier::DualClassifier< T >
• getElapsedTime() : mltk::Learner< T >
• getFeature() : mltk::Data< T >
• getFeaturesNames() : mltk::Data< T >
• getFormulationString() : mltk::classifier::BalancedPerceptron< T > , mltk::classifier::DualClassifier< T > , mltk::classifier::OneVsAll< T > , mltk::classifier::OneVsOne< T > , mltk::classifier::PrimalClassifier< T > , mltk::clusterer::KMeans< T, Callable > , mltk::ensemble::AdaBoostClassifier< T > , mltk::ensemble::AutoWeightedVoting< T > , mltk::ensemble::BaggingClassifier< T > , mltk::ensemble::PerceptronCommittee< T > , mltk::ensemble::VotingClassifier< T > , mltk::Learner< T > , mltk::regressor::DualRegressor< T > , mltk::regressor::KNNRegressor< T, Callable > , mltk::regressor::PrimalRegressor< T >
• getIndex() : mltk::Data< T >
• getKernelMatrix() : mltk::Kernel< T >
• getKernelMatrixPointer() : mltk::Kernel< T >
• getKernelParam() : mltk::classifier::DualClassifier< T >
• getKernelType() : mltk::classifier::DualClassifier< T >
• getMaxTime() : mltk::Learner< T >
• getP() : mltk::classifier::PrimalClassifier< T >
• getParam() : mltk::Kernel< T >
• getPredictionProbability() : mltk::Learner< T >
• getQ() : mltk::classifier::PrimalClassifier< T >
• getSamples() : mltk::Learner< T >
• getSolution() : mltk::classifier::Classifier< T > , mltk::ensemble::Ensemble< T > , mltk::regressor::Regressor< T >
• getSolutionRef() : mltk::classifier::Classifier< T > , mltk::ensemble::Ensemble< T > , mltk::regressor::Regressor< T >
• getSteps() : mltk::Learner< T >
• getSupportVectors() : mltk::classifier::IMADual< T > , mltk::classifier::IMAp< T >
• getTime_mult() : mltk::Data< T >
• getType() : mltk::Data< T > , mltk::Kernel< T >
• getUpdates() : mltk::Learner< T >
• getWeight() : mltk::classifier::DualClassifier< T >
• Gnuplot() : Gnuplot